AI Slop Is Polluting Bug Bounty Platforms with Fake Vulnerab...

AI-generated fake vulnerability reports, or "AI slop," are increasingly undermining bug bounty programs by wasting maintainers' time and eroding trust in vulnerability disclosure processes. These reports, often created using large language models, appear technically sound at first glance but lack any real basis in software behavior, leading to unwarranted payouts. The problem is exacerbated by organizations that lack the expertise to properly vet these submissions, sometimes opting to pay out bounties to avoid public relations issues, rather than investing in expert analysis. This trend threatens genuine researchers, who may become discouraged by the proliferation of fake reports and the lack of appropriate rewards for authentic findings. The situation highlights a structural issue within bug bounty programs, as the temptation to exploit weak triage systems grows alongside the improving capabilities of AI. Without significant changes, such as more rigorous report validation and researcher verification, the integrity of bug bounty platforms could be compromised, potentially leading to their decline as a valuable security resource.

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